b'Baiying Lei'

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Featured Co-authors

Wei Wang
492 publications
Yong Liu
227 publications
Jie Yang
158 publications
Xu Sun
140 publications
Tao Chen
134 publications
Lei Zhu
121 publications
Yong Wang
119 publications
Huazhu Fu
108 publications
Zhuo Chen
102 publications
Qi Dou
97 publications
Jing Qin
75 publications

research

∙ 05/23/2023

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI

Integrating the brain structural and functional connectivity features is...

0 Qiankun Zuo, et al. ∙

research

∙ 05/22/2023

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image

In minimally-invasive brain surgeries with indirect and narrow operating...

0 Bowen Hu, et al. ∙

research

∙ 03/11/2023

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline

Brain network analysis is essential for diagnosing and intervention for ...

0 Xuhang Chen, et al. ∙

research

∙ 11/05/2022

Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles

There are still many challenges of emotion recognition using physiologic...

0 Feng Zhou, et al. ∙

research

∙ 02/18/2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment

Glaucoma is the second leading cause of blindness and is the leading cau...

13 Huihui Fang, et al. ∙

research

∙ 02/16/2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Age-related macular degeneration (AMD) is the leading cause of visual im...

11 Huihui Fang, et al. ∙

research

∙ 11/25/2021

Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

The diagnosis of early stages of Alzheimer's disease (AD) is essential f...

0 Wen Yu, et al. ∙

research

∙ 10/12/2021

A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease

Alzheimer's disease is characterized by alterations of the brain's struc...

0 Qiankun Zuo, et al. ∙

research

∙ 10/12/2021

DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease

One of the main reasons for Alzheimer's disease (AD) is the disorder of ...

0 Junren Pan, et al. ∙

research

∙ 07/23/2021

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image

3D shape reconstruction is essential in the navigation of minimally-inva...

0 Bowen Hu, et al. ∙

research

∙ 07/21/2021

Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis

Using multimodal neuroimaging data to characterize brain network is curr...

0 Junren Pan, et al. ∙

research

∙ 07/21/2021

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction

Multimodal neuroimage can provide complementary information about the de...

0 Qiankun Zuo, et al. ∙

research

∙ 07/21/2021

A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction

Fusing medical images and the corresponding 3D shape representation can ...

0 Bowen Hu, et al. ∙

research

∙ 07/07/2021

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

In large studies involving multi protocol Magnetic Resonance Imaging (MR...

0 Mohammad Hamghalam, et al. ∙

research

∙ 01/06/2021

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions

In this paper, we first present an arc based algorithm for fan-beam comp...

6 Wei Wang, et al. ∙

research

∙ 11/09/2020

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain

Magnetic resonance imaging plays an important role in computer-aided dia...

0 Senrong You, et al. ∙

research

∙ 10/20/2020

Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans

Structural magnetic resonance imaging (MRI) has been widely utilized for...

0 Mohammad Hamghalam, et al. ∙

research

∙ 08/30/2020

Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network

Recently, the state-of-the-art deep learning methods have demonstrated i...

0 Shuqiang Wang, et al. ∙

research

∙ 08/10/2020

A model-guided deep network for limited-angle computed tomography

In this paper, we first propose a variational model for the limited-angl...

11 Wei Wang, et al. ∙

research

∙ 08/08/2020

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

Fusing multi-modality medical images, such as MR and PET, can provide va...

0 Shengye Hu, et al. ∙

research

∙ 08/03/2020

Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment

It is of great significance to apply deep learning for the early diagnos...

13 Wen Yu, et al. ∙

research

∙ 06/30/2020

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high ...

0 Feng Zhou, et al. ∙

research

∙ 06/09/2020

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation

Magnetic resonance imaging (MRI) provides varying tissue contrast images...

0 Mohammad Hamghalam, et al. ∙

research

∙ 04/08/2020

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation

Segmenting overlapping cytoplasm of cells in cervical smear images is a ...

0 Youyi Song, et al. ∙

research

∙ 04/08/2020

CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images

Exploiting more information from ground truth (GT) images now is a new r...

0 Youyi Song, et al. ∙

research

∙ 01/20/2020

A deep network for sinogram and CT image reconstruction

A CT image can be well reconstructed when the sampling rate of the sinog...

19 Wei Wang, et al. ∙

research

∙ 10/20/2019

SANet:Superpixel Attention Network for Skin Lesion Attributes Detection

The accurate detection of lesion attributes is meaningful for both the c...

28 Xinzi He, et al. ∙

research

∙ 09/27/2019

Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans

The magnetic resonance (MR) analysis of brain tumors is widely used for ...

0 Mohammad Hamghalam, et al. ∙

research

∙ 05/02/2018

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

Automated facial expression analysis has a variety of applications in hu...

0 Feng Zhou, et al. ∙

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